Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Liberty91LTD/cti-skills --skill cti-hyperloopgit clone --depth 1 https://github.com/Liberty91LTD/cti-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/liberty91ltd/cti-skills/cti-hyperloop)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/cti-hyperloop"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/cti-hyperloop/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/cti-hyperloop"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/cti-hyperloop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.01551 |
| Opus 5.5 | $0.00021 | $0.00620 |
| Sonnet 5.5 | $0.00011 | $0.00310 |
| Haiku 4.5 | $0.00005 | $0.00155 |
Grade A, and why
cti-hyperloop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTI Hyperloop Framework
The CTI Hyperloop (based on Google/Mandiant's practical implementation framework) extends the traditional intelligence cycle by running it at three levels simultaneously with continuous bidirectional feedback.
Core Concept
Traditional intelligence cycle: linear, single-track, often stuck at the tactical level. Hyperloop: three parallel tracks (strategic, operational, tactical) feeding each other continuously.
STRATEGIC ←→ OPERATIONAL ←→ TACTICAL
↓ ↓ ↓
Direction → Collection → Processing → Analysis → Dissemination → Feedback
↑ |
└──────────────────────────────────────────────────────────────┘
Intelligence Levels
Strategic Intelligence
- Time horizon: 6-24 months
- Consumers: CISO, Board, Risk Management, Security Architecture
- Focus: Threat landscape trends, emerging threats, geopolitical developments, sector risk posture
- Products: Threat landscape reports, strategic assessments, horizon scanning reports, maturity assessments
- Example PIR: "How will the ransomware threat landscape evolve over the next 12 months and what are the implications for our risk posture?"
Operational Intelligence
- Time horizon: Weeks to months
- Consumers: SOC Manager, IR Lead, Security Operations
- Focus: Active campaigns, threat actor profiling, TTP analysis, vulnerability exploitation trends
- Products: Campaign reports, threat actor profiles, operational assessments, hunt packages
- Example PIR: "What TTPs are currently being used by groups targeting our sector?"
Tactical Intelligence
- Time horizon: Hours to days
- Consumers: SOC Analysts, Detection Engineers, IR Analysts
- Focus: IOCs, detection rules, immediate response support, indicator enrichment
- Products: IOC packages, SIGMA/YARA/KQL rules, flash reports, enrichment reports
- Example PIR: "What IOCs are associated with the current wave of attacks targeting our VPN appliances?"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 128 lines · 53 tokens per session scan A d5dca46eb622
cti-hyperloop is a skill published in the GitHub repository Liberty91LTD/cti-skills (36 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 1,551 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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